About me

Hi, I am currently a Ph.D. student in the Health Intelligence (HI) group of the research center of Social Computing and Information Retrieval (SCIR) at the Harbin Institute of Technology under the supervision of Professor Ting Liu and Associate Professor Sendong Zhao.

Research Interests

• Natural Language Processing
• Large Language Model
• Prompt Learning
• AI + Biomedicine
• AI + Pharmaceutical Science
• AI + Cognitive Science

Education

Harbin Institute of Technology 2020-Now Ph.D. in Computer Science Supervisor: Professor Ting Liu and Associate Professor Sendong Zhao

University of Queensland 2018-2019 Master in Engineering Science Supervisor: Professor Helen (Zi) Huang

Harbin Institute of Technology 2014-2018 Bachelor in Computer Science

Publications and Researches

• Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
  Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu
  AAAI 2024 [paper] [code]
• Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
  Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Cai Muzhen, Bing Qin
  EMNLP 2023 Findings. [paper]
• Global Prompt Cell: A Portable Control Module for Effective Prompt
  Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin
  NLPCC 2023 [paper]
• Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
  Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu
  COLING 2022 [paper] [code]

• Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese
  Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Chi Liu, Nuwa Xi, Yanrui Du, Bing Qin, Ting Liu
  ACM Transactions on Knowledge Discovery from Data (ACM TKDD). [paper]
• CMCOQA: A Chinese Medical Complex Open-Question Answering Benchmark
  Zijian Li, Sendong Zhao, Haochun Wang, Haoming Xu, Bing Qin, Ting Liu
  IEEE BIBM 2024. [paper to be published]
• AS-ES Learning: Towards Efficient CoT Learning in Small Models
  Nuwa Xi*, Yuhan Chen*, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu
  ACL 2024 Findings [paper]
• Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models
  Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu
  arxiv preprint 2024, under review [paper]
• Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis
  Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu
  arxiv preprint 2024, under review [paper]
• The CALLA Dataset: Probing LLMs’ Interactive Knowledge Acquisition from Chinese Medical Literature
  Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin
  arxiv preprint 2023, under review [paper]
• Huatuo: Tuning llama model with chinese medical knowledge
  Haochun Wang*, Chi Liu*, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu
  arxiv preprint 2023, technical report [paper] [code]
• BenTsao: Open-source Chinese Medical Large Language Model
  Haochun Wang, Yanrui Du, Chi Liu, Rui Bai, Nuwa Xi, Yuhan Chen, Zewen Qiang, Jianyu Chen, Zijian Li, Sendong Zhao, Bin Qin, Ting Liu
  Repo: https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese
  Repo: https://github.com/SCIR-HI/Med-ChatGLM
  CCL 2023 Demo

• UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language
  Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu
  ACL 2023 Long Paper (Honorable Mention) [paper] [code]

• MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views
  Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu
  arxiv 2024, under review. [paper]
• MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
  Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin
  AAAI 2024. [paper] [code]
• From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery
  Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Chen Jianyu, Sendong Zhao, Bing Qin
  AAAI 2024. [paper] [code]

Services

• Conference Reviewer: ACL, EMNLP, CoLM, NeurIPS, ICLR

Projects

• Key technologies and applications of genomic data analysis and interpretation of large models. 2023-2026.
• Ministry of Science and Technology, CHINA - Human-machine Integration Consultation. 2021-2024.
• Huawei - Prompt Learning Research Project. 2022-2023.
• Chinaso - Weibo Event Extraction Project. 2019-2020.
• Australia Arrow Energy - Mine Data Analysis. 2018-2019.